KR101823652B1 - A big data-based contact prediction system for prevention of electric accident due to the contact the roadside tree with high-voltage wire of electric poles - Google Patents

Abstract

A big data-based contact prediction system for preventing an electric accident due to contact with the roadside tree of the high-voltage wire of an electric pole calculates an average height of one year-roadside trees by using the information of big data, compares and analyzes the height of the calculated roadside tree with the height of the high-voltage wire of the electric pole, and provides contact generation prediction information, in order to improve the efficiency of electric pole maintenance and preventing an electric accident due to contact with a high-voltage wire of an electric pole with the branches of a roadside tree. The big data-based contact prediction system includes an electric pole data collection part; a roadside data collection part; a weather information collecting part; a position information collecting part; a display part; and a control part.

Description

TECHNICAL FIELD [0001] The present invention relates to a large-data-based cooperative prediction system for preventing an electric accident caused by a roadside incompatibility of a high-

[0001] The present invention relates to a big data-based complex prediction system for preventing electric accidents due to interference of a street power line of a mains power cable, and more particularly, to a system for predicting a yearly average height of a tree line growth using information of big data And a large data-based collision prediction system that provides the collision occurrence prediction information by comparing and analyzing the calculated height of the row of trees and the height of the high-tension line of the electric pole, so that the high-voltage line of the pole- The present invention relates to a large-data-based mixed-signal prediction system for preventing electrical accidents due to interference of a roadside line of a mains mains power cable, which can improve efficiency of maintenance and maintenance of a mains supply.

Each year, a 1-wire ground fault due to the contact between the high-voltage cable and the trees is an important factor in the power failure.

FIG. 1A shows an embodiment in which a high-voltage line is interrupted by a tree contact according to the prior art, and FIG. 1B shows an example of a 1-line ground fault by a high voltage line and a tree contact according to the prior art.

As shown in Fig. 1A, generally, a high-voltage line and a roadside line of a telephone pole are arranged in line in a sidewalk of a road, and a roadside tree is an organism that continues to grow.

In this case, as shown in FIG. 1B, when a high-voltage line of more than 20,000 V is interfered with the trees of the aqueducts, the one-line terminal is broken, or when the covering portion of the high-voltage line is worn out, a short circuit or a power failure occurs.

However, in spite of the fact that the conventional technology has suffered a loss of life and property due to a ground fault caused by a high-voltage line and a tree contact every year, a system for predicting a growth height according to weather data and a kind of avenues has not existed. Regardless of the type and timing of the roadside trees, the roadside trees are not only wasted by pruning the trees, but also the maintenance work of the telephone poles due to the interference of the roadside trees is insufficient.

Korean Patent Publication No. 10-2013-0043824

SUMMARY OF THE INVENTION The present invention has been made in view of the above problems, and it is an object of the present invention to provide a method and apparatus for calculating a one-year average height for tree growth using information of big data and comparing the height of the calculated tree line with the height of the high- And a large data-based mixed-signal prediction system that provides prediction information, it is possible to prevent the occurrence of electric accidents due to interference of the high-voltage lines of the mains pole with the branches of the surrounding roads, and to improve the efficiency of maintenance work of the mains pole, And to provide a big data-based conflict prediction system for preventing an electrical accident caused by a collision.

In order to accomplish the above object, there is provided a system for predicting a big data-based mixed signal for preventing an electric accident caused by interference of a roadside pole of a high-voltage pole of a pole according to the present invention, In order to increase the efficiency of the maintenance work of the vehicle, the average height of the annual growth of the roadside tree is calculated by using the information of big data, and the height of the calculated avenue and the height of the high- And provides a prediction based on a big data-based coincidence prediction.

The present invention has the technical effect of enhancing the efficiency of maintenance work of the electric pole and the prevention of the electric accident due to the interference of the high-voltage cable of the pole with the branches of the roadside trees around the pole.

FIG. 1A shows an embodiment in which a high-voltage line is interfered with a tree contact according to the prior art.
1B shows an example of a 1-line ground fault state by a high voltage line and a tree contact according to the prior art.
FIG. 2 schematically shows a relationship between a big data-based mixed-mindedness prediction system and a tree manager terminal according to the present invention.
FIG. 3 shows a detailed configuration of a big data-based coincidence prediction system according to the present invention.

Hereinafter, embodiments of the present invention will be described in detail with reference to the drawings.

FIG. 2 schematically shows a relationship between a big data-based mixed-mindedness prediction system and a tree manager terminal according to the present invention.

Referring to FIG. 2, the present invention includes a big data-based mixture prediction system 100 and a tree manager terminal 200.

The big data-based complex prediction system 100 measures height of a roadside tree growth by using information of big data, predicts a height change according to a species of a roadside tree according to weather information, humidity, temperature, The predicted data for preventing the optimal tree blindness is provided by calculating the height of the electric pole and the contact height of the high voltage line by the measurement, and the work such as pruning before the tree contact is performed based on the predicted data, This will be described later in detail with reference to FIG.

The tree manager terminal 200 may include a smart phone, a PDA, a notebook or the like as a mobile terminal held by a tree manager in the field in case of a power failure due to a tree contact of a high voltage line.

In this case, the tree manager terminal 200 carries out maintenance work for preventing the interference of the mains mains high-voltage line with the big data-based mixed-signal prediction system 100 through wireless communication.

In this case, for example, Zigbee, RF, WiFi, 3G, 4G, LTE, LTE-A, and Wireless Broadband Internet can be used for wireless communication. However, the present invention is not limited thereto.

FIG. 3 shows a detailed configuration of a big data-based coincidence prediction system according to the present invention.

Referring to FIG. 3, the big data-based complex prediction system 100 according to the present invention includes a roadside data collection unit 110, a telephone pole data collection unit 120, a weather information collection unit 130, a location information collection unit 140 A communication unit 150, a street-water mixture prediction unit 160, a maintenance performing unit 170, a display unit 180, and a control unit 190.

The roadside data collection unit 110 collects information related to the roadside data such as the type of the roadside where the distribution electricity (for example, the high-voltage line of the pole, the neutral line, etc.) is installed and the average height and width of growth of the species for one year.

The telephone pole data collection unit 120 collects telephone pole data related information such as height, shape, and location of a telephone pole installed in a certain area.

The weather information collecting unit 130 collects the weather information (for example, weather information, wind direction information, wind speed information, temperature information, humidity information, fog information, radiation amount information, snowfall amount information, Collected in conjunction with the Korea Meteorological Administration.

The position information collecting unit 140 collects the position where the high-voltage line is installed and the position information of the area where the line number is distributed around the high-voltage line.

The communication unit 150 provides an interface for performing wired or wireless communication with the tree manager terminal 200. The communication unit 150 can use a wired communication such as a PLC or the like and wireless communication such as Zigbee , RF (Radio Frequency Identification), WiFi, 3G, 4G, LTE, LTE-A, and Wireless Broadband Internet.

The roadside mixedness prediction unit 160 analyzes the data collected by the roadside data collection unit 110, the telephone pole data collection unit 120, the weather information collection unit 130 and the location information collection unit 140, And the degree of occurrence of tangency due to trees such as the roadside trees of the telephone pole installed in the road.

In other words, the roadside mixedness predicting unit 160 analyzes the information about the avehicle data collected through the avenue data collecting unit 110 to calculate an average height and an area for the one-year growth rate of the avege number. In this case, (For example, weather information, wind direction information, wind velocity information, temperature information, humidity information, fog information, irradiation amount information, snowfall amount, and the like) of the area where the trees are collected by the information collecting unit 130 Information, rainfall information, etc.) can be used to calculate the average growth rate of the roadside for one year.

In addition, the roadside mixedness prediction unit 160 compares the height of the high-voltage line (neutral line) of the telephone pole installed in the predetermined area collected by the telephone pole data collection unit 120 with the height of the calculated lineage growth, , And the degree of occurrence of incompatibility (upper, middle, lower).

The maintenance performing unit 170 may be used to predict when the intersection of the highway line (neutral line) of the electric pole of the specific area predicted by the roadway line mixedness predicting unit 160 should be cut and maintained Perform maintenance work.

In this case, the predicted information of the occurrence of the inconveniences is the location information of the telephone poles and avenues in a specific area, the occurrence of the incongruity, the degree of intercommunication (the upper, middle, and lower sections are classified according to the areas where the branches of the trees are in contact with the high- And information on the time period.

If it is determined that the probability of occurrence of a 1-line ground fault is high due to a severe degree of interference, the maintenance performing unit 170 transmits a differential alarm signal (for example, It is preferable to automatically forward the alarm means, the alarm interval, and the like in a differential manner, compared with the case of the lower stage, so that the quick maintenance work can be performed.

The display unit 180 displays the positions of the telephone poles and the trees in a specific area on a digital map. In this case, the colors are changed according to the degree of blushing (for example, Yellow, and low ---> green), it is desirable to display the area where the inconveniences occur, so that it can be used to determine the priority of the maintenance work.

The control unit 190 includes a roadside data collection unit 110, a telephone pole data collection unit 120, a weather information collection unit 130, a location information collection unit 140, a communication unit 150, And controls the maintenance performing unit 170 and the display unit 180.

While the present invention has been described in connection with what is presently considered to be the most practical and preferred embodiment, it is to be understood that the invention is not limited to the disclosed embodiments. It will be apparent to those skilled in the art that various modifications and variations can be made in the present invention without departing from the spirit of the invention.

100: Big data-based coincidence prediction system
110: a roadside tree data collection unit
120: Telephone pole data collection unit
130: weather information collecting unit
140: Position information collecting unit
150:
160:
170: Maintenance &
180:
190:

Claims (5)

In order to increase the efficiency of the maintenance work of the electric pole and the prevention of the electric accident caused by the interference of the high voltage cable of the pole with the branches of the roadside trees around,
Big data-based cohesion prediction, which calculates the average height for a year's line growth using information of big data, and provides the predicted information of the occurrence of a collision by comparing the height of the calculated line number with the height of the high- System,
The big data-based mixed-
A telephone pole data collection unit for collecting information about a height of a high-voltage cable of a telephone pole installed in a predetermined area;
A roadside data collection unit for collecting information on the type of avenue near the electric pole;
A weather information collecting unit for collecting the weather information of the area where the roadside tree is installed in connection with the weather agency server;
A location information collecting unit for collecting location information of the location where the telephone pole is installed and the area where the street number is distributed;
A roadside tree intercept prediction unit for providing the interlocking prediction information by integrally analyzing the big data collected through the telephone network data collection unit, the roadside data collection unit, the weather information collection unit, and the location information collection unit;
A maintenance performing unit for instructing to perform maintenance work plan and maintenance for the telephone poles in which there is a possibility of occurrence of a troublesome occasion or a problem of collision on the basis of the perceived occurrence occurrence prediction information;
A display unit displaying a location of a telephone pole and a street number in a specific area on a digital map and displaying an area in which a blinking area is generated by changing the color according to the degree of blinking; And
A street information collecting unit, a weather information collecting unit, a location information collecting unit, a street-line intercept prediction unit, a maintenance performing unit, and a control unit for controlling the display unit,
Wherein the occurrence information
Information on the position of the telephone pole and the street number, whether or not a touched area is generated, the degree of touched area,
The above-
According to an aspect of the present invention,
The maintenance performing unit may include:
Wherein the alarming means and the alarm interval are automatically transferred to the tree manager terminal of the corresponding area when the degree of interference corresponds to the upper level. A Big Data - Based Conflict Prediction System for Electric Accident Prevention. delete 2. The method according to claim 1,
Wherein the roadside information includes weather information, wind direction information, wind speed information, temperature information, humidity information, fog information, solar radiation amount information, snowfall amount information, or rainfall amount information for one year in the area where the roadside tree is installed. A Big Data Based Confusion Prediction System for Prevention.
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